Typical wireless sensor networks have restricted resources on memory capacity, computing/processing power, and energy supply. However, wireless sensor network has been increasingly applied to various applications and security in wireless sensor networks has become an essential and challenging issue. There is a wide range of security attacks in wireless sensor networks. A node replication attack is a type of attacks in wireless sensor networks. An attacker can be easily disguised in a wireless sensor network and acts as an intermediate node to intercept data packets. The attacker could be a clone node in the network by capturing nodes' ID, the pair-wise key etc. The base station may not be able to distinguish between good nodes and malicious nodes. In this paper, we present a new method, named Area-Based Clustering Detection (ABCD) method, for detecting node replication attacks. Our simulation results show that the proposed ABCD method can achieve high successful detection rate while decrease the communication overheads when compared with the Line-Selected Multicast (LSM) method previously proposed in the literature. The proposed ABCD method can also maintain the network lifetime and decrease the number of stored messages when compared with a centralized approach.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.